Stochastic Parsing and Parallelism

  • Authors:
  • Francisco-Mario Barcala;Oscar Sacristán;Jorge Graña

  • Affiliations:
  • -;-;-

  • Venue:
  • CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2001

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Abstract

Parsing CYK-like algorithms are inherently parallel: there are a lot of cells in the chart that can be calculated simultaneously. In this work, we present a study on the appropriate techniques of parallelism to obtain an optimal performance of the extended CYK algorithm, a stochastic parsing algorithm that preserves the same level of expressiveness as the one in the original grammar, and improves further tasks of robust parsing. We consider two methods of parallelization: distributed memory and shared memory. The excellent performance obtained with the second one turns this algorithm into an alternative that could compete with other parsing techniques more efficient a priori.